PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-06-05 10:22:03.689173+00:00 (UTC)
In US/Central Time, this is 2024-06-05 05:22:03.689173-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/2ba6923c1cf717c5ee8dc829b250d28c8e3c197c3dd57f205aa170cd78dc0611.png
We are just generating a random time serie here.
../_images/0f7769bc425ebf301d83a4853ad7bcd8a9782f51fd90973b448b62708a2c6053.png
../_images/47c67453542122c563fbc4959440efe29521c31292c4e36def8a63b12d803bc0.png